partypanelData {behaviorchange}

Subsets of Party Panel datasets

Description

These are subsets of Party Panel datasets. Party Panel is an annual semi-panel determinant study among Dutch nightlife patrons, where every year, the determinants of another nightlife-related risk behavior are mapped.

Usage

data(BBC_pp15.1)

data(BBC_pp16.1)

data(BBC_pp17.1)

data(BBC_pp18.1)

Format

For BBC_pp15.1, a data.frame with 123 columns and 829 rows. For BBC_pp16.1, a data.frame with 63 columns and 1077 rows. For BBC_pp17.1, a data.frame with 94 columns and 943 rows. For BBC_pp18.1, a data.frame with 84 columns and 880 rows. Note that many rows contain missing values; the columns and rows were taken directly from the original Party Panel datasets, and represent all participants that made it past a given behavior.

Details

The behaviors of the Party Panel waves were:

• 2015: Behaviors related to using highly dosed ecstasy pills

• 2016: Behaviors related to visiting nightlife first-aid facilities

• 2017: Behaviors related to hearing protection

• 2018: Behaviors related to flirting and boundary crossing

• 2019: Behaviors related to sleeping hygiene surrounding nightlife participation

The full datasets are publicly available through the Open Science Framework (https://osf.io/s4fmu/). Also see the GitLab repositories (https://gitlab.com/partypanel) and the website at https://partypanel.eu.

Examples

data('BBC_pp17.1', package='behaviorchange');
behaviorchange::CIBERlite(data=BBC_pp17.1,
                          determinants=c("epw_attitude",
                                         "epw_perceivedNorm",
                                         "epw_pbc",
                                         "epw_habit"),
                          targets=c("epw_intention"));